oumaimaoys / Iot-System-digital-twin-aws

a digital twin of an Iot system using Amazon Web Services

AWS IoT Digital Twin Project

This project demonstrates the implementation of an IoT digital twin using AWS services.

Table of Contents

• Introduction
• Features
• Prerequisites
• Installation
• Usage
• Contributing
• License

Introduction

In this project, we leverage AWS IoT services to create a digital twin for an Iot Smart Gardening System. A digital twin is a virtual representation of a physical device or system that allows monitoring, control, and analysis of the device's data in real-time.

Architecture

Features

• AWS Cloud9: Integrated development environment (IDE) for writing, running, and debugging code.
• AWS EC2: Virtual servers in the cloud for scalable computing capacity.
• AWS IoT Core: Connect the physical device to AWS IoT Core for secure communication and device management.
• AWS TimeStream: Managed time series database for storing and analyzing IoT data.
• AWS Lambda: Use AWS Lambda functions to perform custom actions based on the data received from the digital twin.
• AWS TwinMaker: Tool for creating and managing digital twins in AWS IoT Core.
• AWS Grafana: Open-source analytics and monitoring platform for visualizing IoT data.

Prerequisites

• AWS account
• AWS CLI installed and configured
• Python 3.x
• library

Contributing

Contributions are welcome! If you have any ideas, suggestions, or bug reports, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.